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agentscope-aiRuntime framework for production agent deployment and secure tool sandboxing
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Summary
AgentScope Runtime provides a production-ready framework for deploying intelligent agent applications, focusing on efficient deployment and secure tool execution. It offers foundational services like memory and state persistence, coupled with hardened sandbox infrastructure, enabling developer-friendly workflows with complete observability for orchestrating production-grade agents.
How It Works
This full-stack agent runtime uses an adapter pattern for seamless integration with various agent frameworks. It provides built-in services for agent state, conversation history, and long-term memory, alongside robust sandbox infrastructure for secure tool execution. The "Agent as API" white-box development experience streamlines deployment and enhances multi-agent collaboration, ensuring development-production consistency.
Quick Start & Requirements
Requires Python 3.10+. Install via pip: pip install agentscope-runtime or pip install "agentscope-runtime[ext]". From source: git clone and pip install -e .. Sandbox examples need Docker/Kubernetes. Mobile sandbox requires specific Linux kernel modules (binder, ashmem); an x86_64 host is recommended. Tutorials are in the Cookbook: https://runtime.agentscope.io/.
Highlighted Details
Maintenance & Community
Community engagement via Discord (https://discord.gg/eYMpfnkG8h) and DingTalk. Contributions welcomed via GitHub Issues, Discussions, and Pull Requests.
Licensing & Compatibility
Licensed under Apache License 2.0, permitting broad use, including commercial applications, under standard terms.
Limitations & Caveats
Framework compatibility is primarily AgentScope, with others in development. Sandbox execution requires Docker/Kubernetes; Mobile sandbox has specific Linux kernel module and architecture prerequisites, potentially impacting setup ease.
3 days ago
Inactive
Significant-Gravitas